The most recommended artificial intelligence books

This is a popular science book, so a little different from the others on this list. It is a beautifully written book that is accessible to people who don’t know much about AI but is simultaneously thought-provoking for experts.

It contains probably the best discussion of "intelligence" that I've read, interesting insights into how Google and other tech giants came to develop their machine learning strategy, and a fascinating chapter that views recommendation engines and their users as parts of a single intelligent organism. It's concise and easy to read.

I've read many popular AI books, which are highly variable in quality, and this criminally underappreciated work is the best by miles. 

In a not-very-distant future, Ben finds a robot at the bottom of the garden. Not one of the usual, fancy AI robots, but a rusty, creaky, and distinctly quirky one. Ben decides to keep the robot, whose name is Tang, over the protests of his wife. But Tang isn’t well, and Ben finds himself more and more invested in both Tang’s well-being and in finding out where the robot came from. This leads to a strange and beautiful buddy-road-trip style tale, as Ben and Tang trek across half the world to find Tang’s maker and, hopefully, the repairs Tang needs. And they find much more besides, as does the reader – discoveries about friendship and love and life and humanity.

I must confess the book title drew me to the book as I sought to understand and learn more about the ethics of the misuse of AI. 

Having worked on committees in the AU and advised various entities in the United States, the subject of ethics is front and center. The expanding use of large language models and rise of generative AI makes the potential for harm stronger than ever.  

AI is poised to change our lives and society in ways we have not imagined much like the iPhone when it first arrived. Understanding its potential is useful but understanding its potential for harm is mandatory. 

I found this book to be enlightening on the ethical components of AI and technology.

A primary reason to love math is because of its usefulness. This book shows two sides of math’s applicability, since it is so ubiquitously used in various algorithms.

On the one hand, such usage can be good, because statistical inferences can make our life easier and enrich it. On the other, when these are not properly designed or monitored, it can lead to catastrophic consequences. Mathematics is a powerful force, as powerful as wind or fire, and needs to be harnessed just as carefully.

Cathy O’Neil’s message in this book spoke deeply to me, reminding me that I need to be always vigilant about the subject I love not being deployed carelessly.  

This is a very technical, truly academic book. I’d recommend reading it 4th or 5th if you felt that prior books did not have sufficient rigour. While this book is academic, it has been lauded by many for its clarity. This is a great book to really think about fundamentals and see what sorts of things can go wrong—even in applied settings.

I went into this book without high expectations because the author was unknown to me, and it surprised me.

I read a lot of thrillers, especially techno- and sci-fi-ish thrillers, and most are fun but meh. I found this one to be really interesting, with a fresh plot idea and captivating historical settings spun together like a kaleidoscope.

It hooked me from the beginning, and then the escalation and intensity wouldn’t let me go.

The dystopia in Bash Bash Revolution is a bit closer to reality than the others on this list: it’s set specifically in 2017, but in a world pushed far closer to the brink of nuclear war than ours, with a much more psychotic version of Donald Trump in charge. Main character Matthew Munson’s mad programmer of a father creates an AI that might save the world from its own destruction, but only by locking every person into a solipsistic nightmare run on video game technology. In a way this book is about choosing between an apocalypse and a dystopia, which is something you don’t see very often.

To the best of my recollection, the word ‘leadership’ doesn’t appear in this book.

Yet, since I first encountered it in a Harvard Business School doctoral seminar on leadership—and ignored numerous assignments because I couldn’t put it down—I have recommended it to countless professionals.

Too often, leadership is presented as a disembodied (cap)ability, unmoored from its organizational context.

Philosopher Hofstadter and computer scientist Dennett’s remarkable collection of articles includes both fairy tales (yes!) and Alan Turing’s essay defining artificial intelligence. Collectively, they explore not just the “self and soul” in the sub-title but also how humans interact with organizations and technology.

This book taught me leadership isn’t about being a puppeteer. Each of the newest developments in artificial intelligence has reminded me that I must re-read this book.

A wakeup call for many. Martin made the case of how tech is accelerating and impacting work, bringing the threat of massive unemployment to the public scene, and insisting that it’s not only blue-collar jobs that are concerned.

Critics noted a narrow stance that fails to account for factors like shifting demographics and trends like gigging. And massive unemployment has not yet materialized, though to his defense less than a decade has passed since. The only remedy from Martin – Universal Basic Income – is not a miracle solution applicable worldwide.

The book’s focus is more on convincing audiences of the upcoming problems than working on solutions. Setting aside these critics, Rise of the Robots remains an undeniable classic for anyone curious about tech’s impact on work.

At the beginning, readers are drawn into an exciting world where humans battle to save their desolate planet from an alien race. But in typical Brandon Sanderson fashion, good and evil are not clear-cut, and the conflict soon grows far more complex. 

As the series progresses, the main character, Spensa, discovers that the battle for her planet is not as straightforward as she had once thought, and that the aliens she had fought were neither uniform nor uniformly evil. When she infiltrates an alien homeland in Book 2, Spensa is forced to question her original assumptions about who deserves to be saved—not just humans, but maybe also some alien races and even artificially intelligent beings.